Using the theory of planned behavior to predict factors influencing fast-food consumption among college students

The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factor...

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Published in:BMC public health 2023-05, Vol.23 (1), p.987-987, Article 987
Main Authors: Sajjad, Maryam, Bhatti, Afifa, Hill, Barry, Al-Omari, Basem
Format: Article
Language:English
Subjects:
Adolescents
Analysis
Attitudes
Behavioral intention
Chi-square test
College students
Colleges & universities
Complications and side effects
Convenience foods
Cross-Sectional Studies
Data analysis
Eating behavior
Fast food
Fast Foods
Female
Food
Food consumption
Health aspects
Health behavior
Humans
Intention
Male
Mathematical models
Multiple regression analysis
Multivariate statistical analysis
Norms
Obesity
Perceived behavior
Psychological Theory
Questionnaires
Social aspects
Socioeconomic factors
Statistical analysis
Statistical tests
Structural equation modeling
Students
Subjective norm
Surveys and Questionnaires
Teenagers
Theory of Planned Behavior
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description The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factors associated with six categories: demographics, FFC pattern, intention for FFC, attitudes toward FFC, Subjective Norms (SN), and Perceived Behavioral Control (PBC). Data analysis was conducted using SPSS and SPSS AMOS software using descriptive statistics, inferential statistics (chi-square, t-test, Pearson correlation, and multiple regression analysis), and structural equation modeling (SEM) Analysis. A total of 220 questionnaires were completed (97 males and 123 females). There were significant differences in FFC association with gender. Among the constructs of TPB, behavioral intention (BI) and SN are the strongest predictors of the FFC (p 
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Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factors associated with six categories: demographics, FFC pattern, intention for FFC, attitudes toward FFC, Subjective Norms (SN), and Perceived Behavioral Control (PBC). Data analysis was conducted using SPSS and SPSS AMOS software using descriptive statistics, inferential statistics (chi-square, t-test, Pearson correlation, and multiple regression analysis), and structural equation modeling (SEM) Analysis. A total of 220 questionnaires were completed (97 males and 123 females). There were significant differences in FFC association with gender. Among the constructs of TPB, behavioral intention (BI) and SN are the strongest predictors of the FFC (p &lt; .05). TPB has significantly predicted FFC behavior with a variance of R 0.603. The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. 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The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. 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The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. These findings can be useful for developing targeted interventional health strategies and future research.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>37237304</pmid><doi>10.1186/s12889-023-15923-1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects Adolescents
Analysis
Attitudes
Behavioral intention
Chi-square test
College students
Colleges & universities
Complications and side effects
Convenience foods
Cross-Sectional Studies
Data analysis
Eating behavior
Fast food
Fast Foods
Female
Food
Food consumption
Health aspects
Health behavior
Humans
Intention
Male
Mathematical models
Multiple regression analysis
Multivariate statistical analysis
Norms
Obesity
Perceived behavior
Psychological Theory
Questionnaires
Social aspects
Socioeconomic factors
Statistical analysis
Statistical tests
Structural equation modeling
Students
Subjective norm
Surveys and Questionnaires
Teenagers
Theory of Planned Behavior
title Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
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